<table border="0" width="*">
<caption>Panel A: Continuous Vars and Discretes</caption>
<tr><td colspan=7><hr></td></tr>
<tr><td>                              </td><td>      bp <= 185              </td><td>      bp <= 180              </td><td>      bp <= 175              </td><td>      bp <= 170              </td><td>      bp <= 165              </td><td>      bp <= 160              </td></tr>
<tr><td colspan=7><hr></td></tr>
<tr><td>\vspace*{0mm}\hspace*{5mm}sex variable (discrete)</td><td>          -0.24<sup>*</sup>  </td><td>          -0.24<sup>*</sup>  </td><td>          -0.24<sup>*</sup>  </td><td>          -0.26<sup>*</sup>  </td><td>          -0.35<sup>**</sup> </td><td>          -0.27              </td></tr>
<tr><td>                              </td><td>         (0.14)              </td><td>         (0.14)              </td><td>         (0.14)              </td><td>         (0.15)              </td><td>         (0.15)              </td><td>         (0.16)              </td></tr>
<tr><td>\vspace*{0mm}\hspace*{5mm}patient ID (cts)</td><td>         0.0029              </td><td>         0.0031              </td><td>         0.0028              </td><td>         0.0030              </td><td>         0.0045<sup>**</sup> </td><td>         0.0039<sup>*</sup>  </td></tr>
<tr><td>                              </td><td>       (0.0020)              </td><td>       (0.0020)              </td><td>       (0.0020)              </td><td>       (0.0021)              </td><td>       (0.0021)              </td><td>       (0.0023)              </td></tr>
<tr><td>\vspace*{0mm}\hspace*{5mm}blood pressure (cts)</td><td>        -0.0097<sup>***</sup></td><td>         -0.011<sup>***</sup></td><td>         -0.013<sup>***</sup></td><td>         -0.014<sup>***</sup></td><td>         -0.019<sup>***</sup></td><td>         -0.020<sup>***</sup></td></tr>
<tr><td>                              </td><td>       (0.0026)              </td><td>       (0.0028)              </td><td>       (0.0029)              </td><td>       (0.0031)              </td><td>       (0.0033)              </td><td>       (0.0040)              </td></tr>
<tr><td colspan=7><hr></td></tr>
<tr><td>N                             </td><td>            240              </td><td>            232              </td><td>            227              </td><td>            212              </td><td>            193              </td><td>            167              </td></tr>
<tr><td>bpge185                       </td><td>            Yes              </td><td>             No              </td><td>             No              </td><td>             No              </td><td>             No              </td><td>             No              </td></tr>
<tr><td>bpge180                       </td><td>            Yes              </td><td>            Yes              </td><td>             No              </td><td>             No              </td><td>             No              </td><td>             No              </td></tr>
<tr><td>bpge170                       </td><td>            Yes              </td><td>            Yes              </td><td>            Yes              </td><td>            Yes              </td><td>             No              </td><td>             No              </td></tr>
<tr><td>bpge160                       </td><td>            Yes              </td><td>            Yes              </td><td>            Yes              </td><td>            Yes              </td><td>            Yes              </td><td>            Yes              </td></tr>
<tr><td colspan=7><hr></td></tr>
<tr><td colspan=7>
* 0.10 ** 0.05 *** 0.01. Robust standard errors. Each column is a spearate regression.
</td></tr>
</table>
<table border="0" width="*">
<caption>Panel B: Interact Cts Vars with Discrete</caption>
<tr><td colspan=7><hr></td></tr>
<tr><td>                              </td><td>      bp <= 185              </td><td>      bp <= 180              </td><td>      bp <= 175              </td><td>      bp <= 170              </td><td>      bp <= 165              </td><td>      bp <= 160              </td></tr>
<tr><td colspan=7><hr></td></tr>
<tr><td>\vspace*{0mm}\hspace*{5mm}sex variable (discrete)</td><td>           0.86              </td><td>           0.29              </td><td>           0.86              </td><td>           1.18              </td><td>           1.10              </td><td>           0.39              </td></tr>
<tr><td>                              </td><td>         (0.76)              </td><td>         (0.84)              </td><td>         (0.84)              </td><td>         (0.91)              </td><td>         (0.94)              </td><td>         (1.15)              </td></tr>
<tr><td>\vspace*{0mm}\hspace*{5mm} $\times$ patient ID</td><td>         0.0021              </td><td>         0.0023              </td><td>         0.0018              </td><td>         0.0026              </td><td>         0.0052              </td><td>         0.0044              </td></tr>
<tr><td>                              </td><td>       (0.0029)              </td><td>       (0.0030)              </td><td>       (0.0030)              </td><td>       (0.0032)              </td><td>       (0.0033)              </td><td>       (0.0038)              </td></tr>
<tr><td>\vspace*{0mm}\hspace*{5mm} $\times$ blood pressure</td><td>        -0.0063<sup>*</sup>  </td><td>        -0.0095<sup>**</sup> </td><td>        -0.0092<sup>**</sup> </td><td>        -0.0087<sup>*</sup>  </td><td>         -0.014<sup>***</sup></td><td>         -0.018<sup>***</sup></td></tr>
<tr><td>                              </td><td>       (0.0036)              </td><td>       (0.0039)              </td><td>       (0.0041)              </td><td>       (0.0047)              </td><td>       (0.0050)              </td><td>       (0.0059)              </td></tr>
<tr><td>\vspace*{0mm}\hspace*{5mm} $\times$ patient ID</td><td>         0.0038              </td><td>         0.0038              </td><td>         0.0037              </td><td>         0.0033              </td><td>         0.0041              </td><td>         0.0036              </td></tr>
<tr><td>                              </td><td>       (0.0027)              </td><td>       (0.0027)              </td><td>       (0.0027)              </td><td>       (0.0027)              </td><td>       (0.0027)              </td><td>       (0.0030)              </td></tr>
<tr><td>\vspace*{0mm}\hspace*{5mm} $\times$ blood pressure</td><td>         -0.014<sup>***</sup></td><td>         -0.014<sup>***</sup></td><td>         -0.017<sup>***</sup></td><td>         -0.019<sup>***</sup></td><td>         -0.024<sup>***</sup></td><td>         -0.023<sup>***</sup></td></tr>
<tr><td>                              </td><td>       (0.0039)              </td><td>       (0.0044)              </td><td>       (0.0041)              </td><td>       (0.0042)              </td><td>       (0.0044)              </td><td>       (0.0056)              </td></tr>
<tr><td colspan=7><hr></td></tr>
<tr><td>N                             </td><td>            240              </td><td>            232              </td><td>            227              </td><td>            212              </td><td>            193              </td><td>            167              </td></tr>
<tr><td>bpge185                       </td><td>            Yes              </td><td>             No              </td><td>             No              </td><td>             No              </td><td>             No              </td><td>             No              </td></tr>
<tr><td>bpge180                       </td><td>            Yes              </td><td>            Yes              </td><td>             No              </td><td>             No              </td><td>             No              </td><td>             No              </td></tr>
<tr><td>bpge170                       </td><td>            Yes              </td><td>            Yes              </td><td>            Yes              </td><td>            Yes              </td><td>             No              </td><td>             No              </td></tr>
<tr><td>bpge160                       </td><td>            Yes              </td><td>            Yes              </td><td>            Yes              </td><td>            Yes              </td><td>            Yes              </td><td>            Yes              </td></tr>
<tr><td colspan=7><hr></td></tr>
<tr><td colspan=7>
* 0.10 ** 0.05 *** 0.01. Robust standard errors. Each column is a spearate regression.
</td></tr>
</table>
